Journal of Big Data

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Featured Collections on Computationally Intensive Problems in General Math and Engineering

This two-part special issue covers computationally intensive problems in engineering and focuses on mathematical mechanisms of interest for emerging problems such as Partial Difference Equations, Tensor Calculus, Mathematical Logic, and Algorithmic Enhancements based on Artificial Intelligence. Applications of the research highlighted in the collection include, but are not limited to: Earthquake Engineering, Spatial Data Analysis, Geo Computation, Geophysics, Genomics and Simulations for Nature Based Construction, and Aerospace Engineering. Featured lead articles are co-authored by three esteemed Nobel laureates: Jean-Marie Lehn, Konstantin Novoselov, and Dan Shechtman.

Open Special Issues

Big Data and Data-driven in Sports
Submission Deadline: 25 April 2025

Customization and fine-tuning of machine learning models
Submission Deadline: 15 December 2024

Advancements on Automated Data Platform Management, Orchestration, and Optimization
Submission Deadline: 31 October 2024

Emergent architectures and technologies for big data management and analysis
Submission Deadline: 1 October 2024

View our collection of open and closed special issues

Read our guidelines for special issue proposals here.

Dual-weight decay mechanism and Nelder-Mead simplex boosted RIME algorithm for optimal power flow

Authors: Huangying Wu, Yi Chen, Zhennao Cai, Ali Asghar Heidari, Huiling Chen and Guoxi Liang

Content type: Research 4 December 2024
A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms

Authors: Naglaa Abdelhady, Ibrahim E. Elsemman and Taysir Hassan A. Soliman

Content type: Research 25 November 2024
Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques

Authors: Ebenezer Fiifi Emire Atta Mills, Zihui Deng, Zhuoqing Zhong and Jinger Li

Content type: Research 23 November 2024
Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry infilled RC frames

Authors: Filip Đorđević and Marko Marinković

Content type: Research 22 November 2024
An integrated multistage ensemble machine learning model for fraudulent transaction detection

Authors: Md. Alamin Talukder, Majdi Khalid and Md Ashraf Uddin

Content type: Research 22 November 2024

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A survey on Image Data Augmentation for Deep Learning

Authors: Connor Shorten and Taghi M. Khoshgoftaar

Content type: Survey paper 6 July 2019
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Authors: Laith Alzubaidi, Jinglan Zhang, Amjad J. Humaidi, Ayad Al-Dujaili, Ye Duan, Omran Al-Shamma, J. Santamaría, Mohammed A. Fadhel, Muthana Al-Amidie and Laith Farhan

Content type: Survey Paper 31 March 2021
Big data in healthcare: management, analysis and future prospects

Authors: Sabyasachi Dash, Sushil Kumar Shakyawar, Mohit Sharma and Sandeep Kaushik

Content type: Survey paper 19 June 2019
Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter

Authors: Bernardo Breve, Loredana Caruccio, Stefano Cirillo, Vincenzo Deufemia and Giuseppe Polese

Content type: Research 22 May 2024
Deep learning applications and challenges in big data analytics

Authors: Maryam M Najafabadi, Flavio Villanustre, Taghi M Khoshgoftaar, Naeem Seliya, Randall Wald and Edin Muharemagic

Content type: Research 24 February 2015

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Aims and scope

The Journal of Big Data publishes open-access original research on data science and data analytics. Deep learning algorithms and all applications of big data are welcomed. Survey papers and case studies are also considered.

The journal examines the challenges facing big data today and going forward including, but not limited to: data capture and storage; search, sharing, and analytics; big data technologies; data visualization; architectures for massively parallel processing; data mining tools and techniques; machine learning algorithms for big data; cloud computing platforms; distributed file systems and databases; and scalable storage systems. Academic researchers and practitioners will find the Journal of Big Data to be a seminal source of innovative material.

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Journal of Big Data

Featured Collections on Computationally Intensive Problems in General Math and Engineering

Open Special Issues

Articles

Dual-weight decay mechanism and Nelder-Mead simplex boosted RIME algorithm for optimal power flow

A real-time predicting online tool for detection of people’s emotions from Arabic tweets based on big data platforms

Data-driven prediction of soccer outcomes using enhanced machine and deep learning techniques

Advanced ANN regularization-based algorithm for prediction of the fundamental period of masonry infilled RC frames

An integrated multistage ensemble machine learning model for fraudulent transaction detection

A survey on Image Data Augmentation for Deep Learning

Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Big data in healthcare: management, analysis and future prospects

Analyzing the worldwide perception of the Russia-Ukraine conflict through Twitter

Deep learning applications and challenges in big data analytics

Aims and scope

Top 10 Most Cited Articles 2023

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